How to Use the Twelve Data MCP in AutoGen

Debate complex investment decisions using AutoGen and the MCP Server's financial tools.

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Connect Twelve Data MCP to AutoGen

Create your Vinkius account to connect Twelve Data to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Twelve Data with AutoGen

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Simulate market analysis debates with AutoGen.

Set up a debate between two agents. One agent can use `get_macd` to argue for momentum following, while another agent uses `get_rsi` to warn about overbought conditions. The system forces them to negotiate the best entry point. This consensus-driven decision process helps determine if an asset is suitable for investment based on conflicting technical indicator signals.

Compare multiple financial indicators using AutoGen.

You can create a 'Risk Agent' and a 'Performance Agent.' The Risk agent might call `get_bollinger_bands` to flag potential extremes, while the Performance agent calls `get_sma` for stable long-term averages. They must debate which signal is more critical. This setup moves beyond simple data retrieval; it forces deliberation over conflicting signals like those from `get_stochastic` and `get_macd`.

Build structured trade workflows with AutoGen.

Use a 'Data Gathering Agent' to run sequential calls: first, use `search_symbols` to narrow down instruments. Second, it uses `get_quote` for the current price. Third, it calls `get_time_series` on that specific instrument. The agents then discuss if the gathered data is sufficient. This ensures every step of your trading plan—from symbol lookup to historical data retrieval—is validated by multiple perspectives.

Setup guide

Set up Twelve Data MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Twelve Data tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Twelve Data_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Twelve Data data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Twelve Data_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Twelve Data data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Twelve Data. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Twelve Data MCP in AutoGen

You build a multi-agent conversation where one agent pulls data using `get_crypto_list` and another checks real-time price changes via `get_real_time_price`. The agents then debate the immediate trading viability based on those two inputs.

You set up a team of agents. One agent iterates over symbols provided by `get_stock_list`, calling `get_quote` for each one sequentially. The discussion phase then summarizes the collective market health.

The MCP Server handles comprehensive financial datasets, including forex rates (`get_exchange_rate`), crypto listings, company fundamentals, and a full suite of technical indicator values (RSI, MACD, etc.).

Yes. You can assign agents roles: one checks historical data via `get_time_series`, and another analyzes current conditions using `get_stochastic`. The deliberation phase converges on a recommended action.

The server gives access to real-time stock quotes, historical OHLCV candle data, and structured lists for nearly every asset class—stocks, crypto, forex, and commodities.

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